Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "156"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 156 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 34 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 34 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 156, Node N12:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2460017 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 2.943688 12.609829 7.890362 10.056708 2.347573 8.824442 2.614818 1.774608 0.3687 0.0373 0.2854 nan nan
2460016 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 3.045245 14.254217 8.714182 11.034923 1.405879 6.648589 3.578727 2.820223 0.3942 0.0375 0.3067 nan nan
2460015 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 3.466904 14.653149 8.949956 11.424403 1.574601 7.030485 0.931631 2.126803 0.4075 0.0411 0.3177 nan nan
2460014 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 3.925835 12.492311 6.930625 8.597764 4.389978 10.499429 2.816682 1.553749 0.3444 0.0367 0.2686 nan nan
2460013 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 3.166823 14.657196 8.981566 11.406241 1.644858 7.080465 3.146604 3.290635 0.4021 0.0385 0.3154 nan nan
2460012 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 3.076485 13.767423 8.806172 11.188866 2.096299 7.772756 3.777142 3.662337 0.3925 0.0406 0.3021 nan nan
2460011 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 4.769644 14.807534 12.177981 14.974035 6.830977 16.109800 2.247167 2.941230 0.3831 0.0416 0.2840 nan nan
2460010 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 5.506056 16.172977 9.901403 12.402633 5.626617 10.528639 1.419846 2.571678 0.3821 0.0418 0.2815 nan nan
2460009 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 4.920174 14.946845 11.163328 13.665633 4.702721 8.889742 1.040126 2.832321 0.3872 0.0408 0.2836 nan nan
2460008 RF_maintenance 100.00% 13.78% 100.00% 0.00% - - 6.069154 18.232810 11.984394 15.022878 12.712571 7.805355 5.074015 5.699244 0.4407 0.0432 0.3048 nan nan
2460007 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 2.965735 13.671104 8.847547 11.746241 1.790078 7.248976 2.789567 3.117283 0.4445 0.0406 0.3241 nan nan
2459999 RF_maintenance 0.00% 98.83% 98.83% 0.00% - - nan nan nan nan nan nan nan nan 0.3954 0.3707 0.3261 nan nan
2459998 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 2.361867 11.566802 7.581654 9.940300 2.598345 10.276423 6.166875 2.245395 0.4293 0.0375 0.3379 nan nan
2459997 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 2.745571 12.591866 8.030319 10.686150 2.396454 9.658437 5.790041 4.081205 0.4436 0.0410 0.3491 nan nan
2459996 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 3.444373 13.590786 10.324272 13.097914 2.755354 9.316828 1.632829 1.534751 0.4404 0.0393 0.3427 nan nan
2459995 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 3.734153 13.740821 9.584805 12.290171 3.499734 9.559080 1.589386 1.431589 0.4247 0.0442 0.3221 nan nan
2459994 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 3.594158 13.310118 8.324571 10.760014 3.767107 9.609324 2.229789 2.237169 0.4150 0.0383 0.3151 nan nan
2459993 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 4.788494 12.535957 7.808887 9.965032 5.715663 10.981054 1.193204 2.619995 0.3697 0.0321 0.2772 nan nan
2459991 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 5.484753 15.530136 8.469073 10.551291 5.709877 10.802987 1.111610 1.104116 0.3992 0.0379 0.3118 nan nan
2459990 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 4.376631 12.776418 8.274094 10.242730 5.263929 11.191298 1.478218 1.090081 0.3969 0.0408 0.3041 nan nan
2459989 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 4.016073 12.900260 7.345939 9.342427 4.229192 9.308623 2.473989 1.185193 0.4003 0.0374 0.3063 nan nan
2459988 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 5.039081 15.098841 8.533960 10.498185 5.910855 13.250126 2.203685 0.863744 0.4212 0.0366 0.3117 nan nan
2459987 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 2.219743 12.631734 7.504429 10.368511 3.478798 8.014167 1.527689 2.388913 0.4622 0.0398 0.3598 nan nan
2459986 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 3.481062 15.535400 8.366438 11.186942 4.246772 11.317789 1.346033 9.899216 0.4792 0.0382 0.3499 nan nan
2459985 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 3.149243 13.991533 7.823937 10.425452 2.397417 8.659236 1.677296 2.463065 0.4496 0.0386 0.3514 nan nan
2459984 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 2.407261 13.493964 7.901097 10.805990 2.625487 12.109887 1.093452 3.170391 0.4811 0.0411 0.3702 nan nan
2459983 RF_maintenance 100.00% 90.17% 100.00% 0.00% - - 10.045402 13.154877 9.876355 10.214315 9.266661 11.189577 3.425093 6.814421 0.1074 0.0394 0.0516 nan nan
2459982 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 2.233733 10.210803 6.762207 8.715913 1.820801 5.249557 0.451258 3.315519 0.5324 0.0385 0.3745 nan nan
2459981 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 3.767135 12.121974 8.628629 10.860085 6.409224 12.381350 0.640346 1.271861 0.4210 0.0404 0.3254 nan nan
2459980 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 3.364154 11.697209 7.762570 9.929517 6.092929 10.820870 2.720316 5.372100 0.4757 0.0398 0.3435 nan nan
2459979 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 3.830079 12.191898 7.130735 9.285540 4.903373 10.160338 1.729278 1.999588 0.4126 0.0382 0.3200 nan nan
2459978 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 3.709871 12.403590 7.726980 9.996973 4.768964 10.994431 0.784584 1.195361 0.4134 0.0362 0.3277 nan nan
2459977 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 3.767804 13.168940 7.550951 9.861564 4.534933 11.315394 0.323269 1.374423 0.3845 0.0418 0.2943 nan nan
2459976 RF_maintenance 100.00% 0.00% 100.00% 0.00% - - 3.869857 12.648395 7.986260 10.266366 4.752534 10.880413 1.092430 1.484064 0.4190 0.0375 0.3273 nan nan

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 156: 2460017

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
156 N12 RF_maintenance nn Shape 12.609829 12.609829 2.943688 10.056708 7.890362 8.824442 2.347573 1.774608 2.614818

Antenna 156: 2460016

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
156 N12 RF_maintenance nn Shape 14.254217 14.254217 3.045245 11.034923 8.714182 6.648589 1.405879 2.820223 3.578727

Antenna 156: 2460015

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
156 N12 RF_maintenance nn Shape 14.653149 14.653149 3.466904 11.424403 8.949956 7.030485 1.574601 2.126803 0.931631

Antenna 156: 2460014

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
156 N12 RF_maintenance nn Shape 12.492311 3.925835 12.492311 6.930625 8.597764 4.389978 10.499429 2.816682 1.553749

Antenna 156: 2460013

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
156 N12 RF_maintenance nn Shape 14.657196 3.166823 14.657196 8.981566 11.406241 1.644858 7.080465 3.146604 3.290635

Antenna 156: 2460012

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
156 N12 RF_maintenance nn Shape 13.767423 3.076485 13.767423 8.806172 11.188866 2.096299 7.772756 3.777142 3.662337

Antenna 156: 2460011

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
156 N12 RF_maintenance nn Temporal Variability 16.109800 4.769644 14.807534 12.177981 14.974035 6.830977 16.109800 2.247167 2.941230

Antenna 156: 2460010

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
156 N12 RF_maintenance nn Shape 16.172977 5.506056 16.172977 9.901403 12.402633 5.626617 10.528639 1.419846 2.571678

Antenna 156: 2460009

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
156 N12 RF_maintenance nn Shape 14.946845 4.920174 14.946845 11.163328 13.665633 4.702721 8.889742 1.040126 2.832321

Antenna 156: 2460008

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
156 N12 RF_maintenance nn Shape 18.232810 18.232810 6.069154 15.022878 11.984394 7.805355 12.712571 5.699244 5.074015

Antenna 156: 2460007

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
156 N12 RF_maintenance nn Shape 13.671104 2.965735 13.671104 8.847547 11.746241 1.790078 7.248976 2.789567 3.117283

Antenna 156: 2459999

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
156 N12 RF_maintenance nn Shape nan nan nan nan nan nan nan nan nan

Antenna 156: 2459998

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
156 N12 RF_maintenance nn Shape 11.566802 2.361867 11.566802 7.581654 9.940300 2.598345 10.276423 6.166875 2.245395

Antenna 156: 2459997

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
156 N12 RF_maintenance nn Shape 12.591866 2.745571 12.591866 8.030319 10.686150 2.396454 9.658437 5.790041 4.081205

Antenna 156: 2459996

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
156 N12 RF_maintenance nn Shape 13.590786 3.444373 13.590786 10.324272 13.097914 2.755354 9.316828 1.632829 1.534751

Antenna 156: 2459995

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
156 N12 RF_maintenance nn Shape 13.740821 3.734153 13.740821 9.584805 12.290171 3.499734 9.559080 1.589386 1.431589

Antenna 156: 2459994

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
156 N12 RF_maintenance nn Shape 13.310118 3.594158 13.310118 8.324571 10.760014 3.767107 9.609324 2.229789 2.237169

Antenna 156: 2459993

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
156 N12 RF_maintenance nn Shape 12.535957 4.788494 12.535957 7.808887 9.965032 5.715663 10.981054 1.193204 2.619995

Antenna 156: 2459991

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
156 N12 RF_maintenance nn Shape 15.530136 5.484753 15.530136 8.469073 10.551291 5.709877 10.802987 1.111610 1.104116

Antenna 156: 2459990

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
156 N12 RF_maintenance nn Shape 12.776418 12.776418 4.376631 10.242730 8.274094 11.191298 5.263929 1.090081 1.478218

Antenna 156: 2459989

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
156 N12 RF_maintenance nn Shape 12.900260 12.900260 4.016073 9.342427 7.345939 9.308623 4.229192 1.185193 2.473989

Antenna 156: 2459988

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
156 N12 RF_maintenance nn Shape 15.098841 15.098841 5.039081 10.498185 8.533960 13.250126 5.910855 0.863744 2.203685

Antenna 156: 2459987

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
156 N12 RF_maintenance nn Shape 12.631734 2.219743 12.631734 7.504429 10.368511 3.478798 8.014167 1.527689 2.388913

Antenna 156: 2459986

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
156 N12 RF_maintenance nn Shape 15.535400 15.535400 3.481062 11.186942 8.366438 11.317789 4.246772 9.899216 1.346033

Antenna 156: 2459985

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
156 N12 RF_maintenance nn Shape 13.991533 13.991533 3.149243 10.425452 7.823937 8.659236 2.397417 2.463065 1.677296

Antenna 156: 2459984

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
156 N12 RF_maintenance nn Shape 13.493964 2.407261 13.493964 7.901097 10.805990 2.625487 12.109887 1.093452 3.170391

Antenna 156: 2459983

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
156 N12 RF_maintenance nn Shape 13.154877 10.045402 13.154877 9.876355 10.214315 9.266661 11.189577 3.425093 6.814421

Antenna 156: 2459982

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
156 N12 RF_maintenance nn Shape 10.210803 2.233733 10.210803 6.762207 8.715913 1.820801 5.249557 0.451258 3.315519

Antenna 156: 2459981

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
156 N12 RF_maintenance nn Temporal Variability 12.381350 12.121974 3.767135 10.860085 8.628629 12.381350 6.409224 1.271861 0.640346

Antenna 156: 2459980

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
156 N12 RF_maintenance nn Shape 11.697209 11.697209 3.364154 9.929517 7.762570 10.820870 6.092929 5.372100 2.720316

Antenna 156: 2459979

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
156 N12 RF_maintenance nn Shape 12.191898 3.830079 12.191898 7.130735 9.285540 4.903373 10.160338 1.729278 1.999588

Antenna 156: 2459978

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
156 N12 RF_maintenance nn Shape 12.403590 12.403590 3.709871 9.996973 7.726980 10.994431 4.768964 1.195361 0.784584

Antenna 156: 2459977

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
156 N12 RF_maintenance nn Shape 13.168940 3.767804 13.168940 7.550951 9.861564 4.534933 11.315394 0.323269 1.374423

Antenna 156: 2459976

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
156 N12 RF_maintenance nn Shape 12.648395 12.648395 3.869857 10.266366 7.986260 10.880413 4.752534 1.484064 1.092430
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